89 apps Privacy
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Umami

No cookies, no fingerprinting, no cross-site tracking, no personal data collection - Umami's privacy contract is the foundation of the open-source web analytics platform. IP addresses are hashed rather than stored, which makes it GDPR, CCPA, and PECR compliant by default - the consent banner can come off the site entirely. The tracking script is under 2 KB, roughly 20x smaller than Google Analytics, so measurement stops being a page-weight tax. The dashboard covers the core metrics - pageviews, visitors, bounce rate, visit duration, referrers, browsers, devices, and countries - with any date range and filtering by country or device. Beyond pageviews, custom events track clicks, form submissions, and signups via a data attribute or one JavaScript call, and advanced reports add funnels, user journeys, retention and cohort analysis, goals, and automatic UTM campaign tracking. Anonymous session views show individual visitor activity without identifying anyone. Teams share websites with role-based access, one instance manages unlimited sites, and a full REST API exposes every metric programmatically. MIT-licensed and self-hosted on PostgreSQL or MySQL via Docker, your analytics data never leaves your infrastructure.

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PrivateBin

PrivateBin shares text and files with true zero-knowledge encryption: the server stores only ciphertext it cannot decrypt because the key exists exclusively in the URL fragment that never reaches the server. With over 8,400 GitHub stars and 500,000+ Docker pulls, it has become the standard for privacy-respecting paste sharing where not even the hosting operator can read stored content. All encryption uses 256-bit AES in Galois Counter mode performed entirely client-side in the browser. Burn-after-reading mode destroys pastes on first view, while configurable expiration timers automatically purge content after periods ranging from five minutes to forever. Optional password protection adds a second encryption layer requiring recipients to enter a passphrase before decryption occurs. Discussion threads enable anonymous or nickname-based commenting on pastes with IP-based identicon avatars for visual identity. Markdown rendering with live preview formats pastes as styled HTML, and syntax highlighting through prettify.js supports dozens of programming languages across four color themes. File upload support enables sharing images, PDFs, and media files with in-browser preview. QR code generation converts paste URLs for mobile device transfer. Customizable templates include Bootstrap 5, classic Bootstrap CSS, and Darkstrap themes. Storage backends support filesystem, MySQL, PostgreSQL, SQLite, Amazon S3, and Google Cloud Storage. Deploy via Docker with the privatebin/nginx-fpm-alpine image on port 8080. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. zlib licensed.

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Usermemos

Memos, the lightweight open-source note service from the usememos project, packaged as a containerized deployment for multi-architecture Docker hosts (x86-64 and arm64): that is Usermemos. The model is frictionless capture: no folders or titles, just a chronological stream of Markdown notes with code blocks, task lists, tables, and file attachments, organized by #hashtags pulled automatically from the text. Per-memo visibility - private, protected for logged-in users, or public - lets a single instance serve as a personal journal, a shared team log, or a public microblog simultaneously. Multi-user support with authentication makes it workable for small teams, and full REST and gRPC APIs open capture and retrieval to CLIs, bots, and automation tools. The runtime is a single Go binary with a React frontend that idles around 50 MB of memory and stores content as plain Markdown in SQLite by default, with MySQL and PostgreSQL available for heavier deployments. Configuration happens through environment variables, access works over HTTP or HTTPS behind a reverse proxy, and there is no telemetry - notes stay on your server in a portable format.

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It Tools

The utilities engineers otherwise scatter across a dozen ad-laden websites - 80+ of them - live together in IT-Tools, one fast, polished web app. Crypto covers JWT decoding, MD5 through SHA-512 hashing, HMAC and bcrypt generation, RSA key pairs, and password strength analysis. Converters handle JSON to CSV, YAML, and TOML, Base64 files, URL encoding, HTML entities, color formats, and Docker run commands to Compose files. Generators produce UUIDv4, ULID, BIP39 mnemonics, QR codes (including Wi-Fi QR), and tokens; text tools include a regex tester, diff viewer, slug and case converters; web utilities parse URLs and user agents, look up HTTP status codes and MIME types, and inspect Open Graph metadata; plus a cron parser, chmod calculator, and more. The privacy argument is the point: JWTs contain user IDs, hashes derive from passwords, JSON dumps hold PII - exactly the inputs you least want a third-party utility site to log. IT-Tools is a frontend-only static bundle (Vue/TypeScript, GPL-3.0, 39k+ GitHub stars) served by Nginx in one container, so everything runs client-side on your infrastructure with nothing transmitted anywhere. New tools ship roughly monthly, and a scaffolding script makes adding custom ones straightforward.

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Endurain

A personal Strava on your own server: Endurain is a self-hosted fitness platform that keeps your complete workout history, GPS routes, and health data out of a vendor's cloud. It ingests the standard device formats (.gpx, .tcx, and preferred .fit with full sensor data) via manual or bulk upload, and syncs directly with Strava and Garmin Connect so migrating years of history is straightforward - Garmin sync covers activities, gear, and body composition. The dashboard shows activity feeds with weekly and monthly statistics, routes on maps, and distance, speed, and training-volume trends over time, with definable goals that update automatically. Gear tracking is notably deep: log wetsuits, bicycles, shoes, racquets, skis, and snowboards, assign default gear per activity type, and track individual components like bike chains against replacement mileage. Multi-user support with admin and user roles, follower features, per-activity privacy settings, and configurable sign-up (email verification, admin approval) make it usable for clubs and coaches as well as individuals. Auth is serious for a fitness app: MFA TOTP, OIDC/SAML SSO, and email-based password resets via Apprise. The stack is Vue.js over a Python FastAPI backend with PostgreSQL, plus weight, steps, and sleep logging, imperial/metric units, multi-language support, and third-party app integration.

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Maybe Finance

Roughly $1M of development work, open-sourced: Maybe Finance began as a $249/year commercial personal finance product before the company released it all. It aggregates bank accounts, credit cards, loans, investments, crypto, and real estate into a single net worth dashboard with historical trend charts - replacing the spreadsheet that usually glues a whole portfolio together. Transactions are categorized and tagged with rules, with merchant tracking and search across imported or synced activity; budgets track spending by category against plan; and the investment view follows holdings, cost basis, and returns across brokerage accounts. Multi-currency support converts accounts held in different currencies into a single reporting currency, bank synchronization works through Plaid where supported, and manual CSV import covers any institution. An optional AI assistant answers questions grounded in your own financial data. Because the app was built as a paid product with professional design before being open-sourced, its interface quality exceeds most community finance tools - and self-hosting means your balances and transactions are not monetized by a free app or gated behind an annual subscription. The stack is Ruby on Rails with Hotwire on PostgreSQL, licensed AGPL-3.0 and deployed via Docker. The original repository is archived; development continues in the community fork Sure, compatible with the same self-hosted setup.

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Securo

Securo is a privacy-first personal finance platform that keeps all your financial data in your own PostgreSQL instance while connecting to 2,500+ banks across three continents for automated transaction sync. The FastAPI backend with React/TypeScript frontend deploys via Docker Compose on ports 3000 and 8000, with Redis-backed Celery workers handling background synchronization. Bank connections span approximately 2,500 European PSD2 institutions through Enable Banking across 29 countries, US and international banks via SimpleFIN's open protocol, and Brazilian banks through Pluggy, all refreshing automatically every four hours. Multi-account management tracks checking, savings, credit cards, and investments with running balances. The auto-categorization rules engine applies pattern-matching across merchants and amounts. Goal tracking monitors savings targets with progress visualization, asset management handles stocks and custom instruments with configurable valuation growth rules, and reports generate Net Worth and Income vs Expenses charts with category sparklines. Optional AI Agents provide LLM chat with tool-use over your financial data through MCP, supporting OpenAI, Anthropic, Ollama, and compatible providers with per-agent RAG knowledge bases accessible via a global command palette. Multi-user support includes OIDC login, passkey authentication, TOTP two-factor, privacy mode, and multi-currency FX conversion via Open Exchange Rates. 1,500+ stars since March 2026. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

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Grimoire

Grimoire captures, extracts, and indexes the content behind your bookmarks so you can search what pages actually say, not just their titles and URLs. The ingestion pipeline accepts links from the web UI, REST API, MCP server, browser bookmarklet, or bulk import, then fetches each page and extracts readable content using specialized parsers for GitHub repos, GitHub issues, StackOverflow threads, YouTube transcripts, PDFs, and standard web articles. Everything stores locally in SQLite with file-based content archives. Search operates in three modes: FTS5 keyword matching for exact terms, semantic embedding search for meaning-based retrieval using vector similarity, or a hybrid ranking mode combining both. Optional AI providers including OpenAI, Ollama, Anthropic, DeepSeek, and any OpenAI-compatible endpoint generate automatic tags, summaries, and embeddings without being required for core functionality. The interface built with React 18, Vite, TypeScript, Tailwind CSS, and Radix UI supports categories, nested tags, notes, archive and trash states, read-later flags, and multi-user isolated spaces. A single Bun-powered Hono process serves both the compiled frontend and the REST API on port 3210, requiring only one Docker container and a SQLite volume. Backup and restore export bookmarks, content, settings, and metadata as portable ZIP archives. Nearly 3,000 GitHub stars reflect growing adoption among developers and researchers. Running on a VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

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Vane

Perplexity's search experience without Perplexity: Vane deploys Perplexica, an open-source AI answer engine built as the self-hosted alternative. Instead of returning a page of links, it reads your question, searches the live web through the SearxNG metasearch engine, and composes a direct answer with cited sources. Retrieval quality comes from embeddings and similarity search: fetched pages are re-ranked against the query so the model answers from the most relevant passages rather than whatever ranked first. Two query modes cover different needs - Normal mode runs a straightforward web search, while Copilot mode generates multiple reformulated queries and actively pulls content from top matches for harder questions. Focus modes specialize retrieval for academic papers, YouTube, Reddit discussions, Wolfram Alpha calculations, or the general web. The answering model is your choice: OpenAI-compatible APIs or fully local LLMs such as Llama 3 and Mixtral through Ollama, which keeps queries entirely on your infrastructure. Because SearxNG pulls live results, answers reflect current information, and no search history is tracked.

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Shaarli

Personal, minimalist, database-free bookmarking - Shaarli is a philosophy as much as an app. Everything lives in a single compressed datastore file inside data/: no MySQL, no PostgreSQL, backup by copying one directory. That write-once/read-many file is usually served straight from OS disk caches, which is why a decade-old Shaarli instance with tens of thousands of links still responds instantly. Designed deliberately single-user, it saves URL, title, unlimited-length description, and tags (with autocomplete, renaming, and merging), marks entries public or private, and automatically strips utm_source and fb tracking parameters from saved URLs. That description field is why the community uses Shaarli as far more than bookmarks: a microblog, read-it-later queue, code-snippet base, pastebin, and shared clipboard between machines. Sharing is one click via bookmarklet or Android apps; consumption is per-tag RSS/Atom feeds plus a daily digest feed; search is full-text with tag filtering. A REST API opens it to any client, a plugin and theme system extends the PHP core (Markdown rendering, thumbnails), and import/export uses browser-standard Netscape HTML - your data enters and leaves freely. LDAP login is supported, no telemetry is sent anywhere, and the UI degrades gracefully without JavaScript. The anti-cloud Delicious.

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CyberScraper 2077

With 3,100+ GitHub stars, CyberScraper 2077 replaces brittle CSS selectors and XPath queries with natural language data extraction powered by Large Language Models. Users paste a URL, describe the data they want in plain English, and the AI extracts structured results from any website — no HTML parsing knowledge required. The tool supports three LLM backends: OpenAI GPT models for maximum accuracy, Google Gemini for cost-effective extraction, and local Ollama instances for fully private scraping where URLs and data never leave your server. Built on Python asyncio with Playwright browser automation, it handles concurrent page fetching with content-based and query-based LRU caching to minimize redundant API calls. The Streamlit web interface runs on port 8501 and provides one-click export to JSON, CSV, HTML, SQL, Excel, and direct Google Sheets upload. Tor network integration routes requests through onion routing for anonymous scraping of both clearnet and .onion hidden service sites with automatic circuit management and stream isolation. Stealth mode randomizes user agents, manages cookies, and controls JavaScript execution timing to bypass bot detection systems. Multi-page scraping navigates through paginated results with automatic URL pattern detection. Docker deployment packages all dependencies including Playwright browsers into a single container. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

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BeaverHabits

No targets, no gamification spiral, no motivational nagging: Beaver Habit Tracker is a self-hosted habit tracker deliberately built without "Goals". The core loop is honest: add habits, check them off each day, watch streaks accumulate on a calendar view. Its design follows behavioral-science basics - make it obvious (visual streak cues), make it attractive (progress is the motivator), make it satisfying (tracking becomes its own reward). Beyond the daily checklist it supports per-day notes intelligently grouped per habit, periodic habits, habit categories and tags, drag-to-reorder (manual or automatic), dark mode, and detailed streak and frequency views. Data lives where you choose: a single SQLite database or flat JSON files on a mounted volume, with JSON export and import for full portability. A REST API opens automation - community integrations already cover Stream Deck buttons, Home Assistant triggers, and CalDAV. The Python app ships as one Docker container with no external dependencies; environment variables tune everything from first day of week and index-page columns to iOS standalone PWA mode, and single-user setups can bypass the login entirely with TRUSTED_LOCAL_EMAIL. BSD-3-Clause licensed with no commercial restrictions - a well-executed single-purpose tool whose mobile PWA works anywhere a browser does.

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LibreTranslate

Machine translation with no Google, no Azure, no per-character billing, and no text leaving your infrastructure: LibreTranslate is a free, open-source translation API that runs entirely on your own server. The engine underneath is Argos Translate, which runs OpenNMT neural models with SentencePiece tokenization and Stanza sentence-boundary detection, all offline. Models install as portable .argosmodel packages covering dozens of languages - English, Spanish, French, German, Chinese, Japanese, Russian, Arabic, Hindi, Portuguese, and many more - and Argos handles automatic pivoting: with es-to-en and en-to-fr installed, it chains them to translate es-to-fr without a direct model. The API is a straightforward HTTP POST to /translate with source and target language codes, returning JSON - simple enough that the ecosystem has clients in every major language and integrations across tools like Weblate and Mastodon. Beyond plain text it translates HTML while preserving markup and handles whole file uploads (documents in, translated documents out), plus automatic language detection when the source is unknown. A clean bundled web UI serves interactive translation for end users, and optional API keys with rate limits control access. AGPL-licensed and trainable with custom models, it is the standard answer when translation must be private, unmetered, and self-contained - GDPR-sensitive text never touches a third party.

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Tianji

Website analytics, uptime monitoring, and server status - three tools most teams run separately - combined in Tianji, an open-source observability platform. The analytics layer tracks page views, unique visitors, referrers, and UTM parameters with a lightweight cookie-less script, which keeps collection GDPR and CCPA friendly. The uptime monitor checks availability and latency on configurable intervals, accepts passively reported results, and publishes public status pages for incident communication. Server status agents report CPU, memory, disk, and network metrics with threshold-based alerts, and notifications route through webhooks, Slack, Telegram, and other channels with noise control. It also includes anonymous telemetry for tracking deployments of your own open-source projects, surveys, waitlists, team collaboration, and an OpenAPI interface for integrations and exports. The consolidation is the point: traffic analytics, uptime checks, and server metrics share one interface and one alerting layer, so diagnosing an incident does not mean hopping between Google Analytics, Uptime Kuma, and Prometheus - and the built-in public status pages replace a separate paid Statuspage-style subscription. Because collection uses no cookies with IP truncation and aggregation by default, basic traffic measurement requires no consent banner. Built in TypeScript under the Apache 2.0 license and inspired by Umami and Uptime Kuma, it is deliberately right-sized for independent developers and small SaaS teams whose monitoring needs are real but lightweight.

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Gotify

Real-time alerts from your own infrastructure to your phone, with no Firebase, Pushover, or third-party push service in the path: Gotify is a simple, self-hosted notification server written in Go. The model is deliberately minimal: senders push messages with a single HTTP POST to the REST API, receivers subscribe over a WebSocket stream, and a clean React web UI manages the pieces. Senders are namespaced as "applications," each with its own token, so your backup script, Uptime Kuma, CI pipeline, and cron jobs each get an identity, an icon, and independently revocable credentials - centralized alerting from many services with per-source management. Messages carry a title, body, and priority level that maps to notification importance on the client. The official Android app (on both F-Droid and Google Play, notable for working entirely without Google Play Services) shows push notifications for new messages; the web UI itself supports Web Push in the browser; and gotify/cli pushes messages from shell scripts with one command. A server-side plugin system adds custom behavior, and the whole thing runs as a single small binary with SQLite by default - near-zero resource footprint. Because dozens of tools (and Apprise) speak Gotify natively, it slots in as the notification hub for an entire homelab or ops stack.

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OpenPanel

Known as the open-source Mixpanel alternative that respects user privacy, OpenPanel delivers a unified web and product analytics platform combining Mixpanel's behavioral analysis with the simplicity of Plausible and full data ownership through self-hosting. Cookieless tracking eliminates consent banners entirely while still capturing events, page views, sessions, user journeys, funnels, retention cohorts, and custom properties with full GDPR compliance by design. The 2.3 KB async script loads without blocking page rendering, and 16 official SDKs cover Next.js, React, Vue, Astro, Remix, Nuxt, Angular, Svelte, React Native, Swift, Kotlin, Python, PHP, Laravel, Express, and REST API for custom integrations. Real-time dashboards display live visitor counts, active sessions, and event streams as they happen. Custom chart builders create tailored visualizations from any tracked event with breakdowns by property, time period, and user segment. Session replay reconstructs individual user journeys showing every page visited, event triggered, and interaction recorded. Funnel analysis identifies conversion drop-offs with step-by-step breakdown and property filtering. Retention analysis measures how often users return with customizable time windows and cohort comparisons. A/B testing and variant tracking enable experiment measurement directly within the platform. Event notifications alert when specific events occur or thresholds are crossed. The self-hosted deployment uses Docker Compose with ClickHouse for high-speed analytical queries, PostgreSQL for metadata, and Redis for real-time processing — deployable on any VPS or Kubernetes cluster. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

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MediKeep

Your medical history, fragmented across a dozen patient portals, in one place on your server: MediKeep (formerly Personal Medical Records Keeper) is a self-hosted health record system. Built with a React frontend and FastAPI backend over PostgreSQL, it organizes 14 categories of medical data - medications with dosages and schedules, conditions, procedures, allergies, immunizations, symptoms, injuries, doctor visits and encounters, treatments, lab results, and even medical equipment with service dates and supplier info. Treatment management is genuinely sophisticated: an advanced mode links treatments to their medications with per-medication overrides for prescriber, pharmacy, and effective dates, and reverse lookup shows which treatments use a given medication. A dashboard summarizes records and recent activity, file uploads attach documents to records, and tagging works across categories. When a new specialist asks for your history, the report builder assembles custom reports by category and exports to PDF, JSON, or CSV - a curated, portable summary instead of a folder of photocopies. Authentication supports Google and GitHub SSO with OIDC providers like Keycloak and Authelia expected to work, and the built-in backup system protects the archive. Health data is exactly what should never live in someone else's cloud.

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Traggo

With over 1,600 GitHub stars and a design philosophy that fundamentally rethinks how time tracking should work, Traggo abandons the traditional project-task hierarchy that forces your work into rigid categories and instead lets you tag time spans with arbitrary key-value pairs — project:website, type:coding, client:acme, billable:yes — enabling cross-dimensional analysis that conventional trackers cannot replicate. The Go backend compiles into a single binary that runs alongside a SQLite database and embedded web UI in under 10MB total, consuming approximately 50MB of RAM at runtime and starting in seconds on even the smallest VPS. Tags are the fundamental data model: create any tag key with any set of values, then apply multiple tags to each time span simultaneously to track by project, client, task type, energy level, or any other dimension your workflow demands. Customizable dashboards render pie charts, bar charts, and line graphs from tag-aggregated data, letting you visualize time distribution across any combination of dimensions over configurable date ranges. The calendar view displays time spans as colored blocks across days and weeks, while the list view provides chronological entry browsing with inline editing. Multiple themes including light and dark modes adapt the interface to personal preference, and simple user management with role-based access supports small team deployments. Docker deployment runs a single container exposing port 3030 with multi-architecture support for amd64, arm64, and arm v7. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

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